AI Agents
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View guide →Chinese guide to building production-grade AI agents with LangChain and LangGraph.
deepagents-in-action is an open-source agents project by datawhalechina (datawhalechina/deepagents-in-action on GitHub). It has 2,578 GitHub stars and 262 forks, is released under the Custom license, and was last updated on GitHub on 1 October 2026.
Browse the course site or notebooks.
Build first agents with LangChain.
Study LangGraph patterns for production.
Apply production-grade practices.
From zero to deployed agents.
Modern agent orchestration.
Authored by a LangChain insider.
Learn by running code.
An end-to-end curriculum.
Built for Chinese developers.
Download the source and move into the project folder.
git clone https://github.com/datawhalechina/deepagents-in-action.git
cd deepagents-in-actionEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project’s launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandThe Datawhale China community at datawhalechina/deepagents-in-action.
Chinese.
Yes. Open and free to study.
Python basics and some LLM familiarity help.
Yes. They are interactive Jupyter notebooks.
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